Multilingual OCR: Going Global Without the Language Gap
Oleg Tagobitsky Oleg Tagobitsky

Multilingual OCR: Going Global Without the Language Gap

Business is increasingly borderless, but documents still arrive in every language and format imaginable. From onboarding clients with foreign IDs to processing invoices from overseas suppliers, enterprises face growing complexity that slows growth and increases costs. Modern multilingual OCR, powered by AI, removes this barrier by instantly recognizing dozens of languages, scripts, and even handwriting — turning static documents into actionable data. For C-level leaders, the impact goes far beyond efficiency: it accelerates onboarding, streamlines finance, strengthens compliance, and builds the digital foundation for truly global operations.

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OCR for Arabic & Cyrillic Scripts: Multilingual Tactics
Oleg Tagobitsky Oleg Tagobitsky

OCR for Arabic & Cyrillic Scripts: Multilingual Tactics

As digital growth accelerates across the Middle East, North Africa and Eastern Europe, the need for robust OCR solutions that support Arabic and Cyrillic scripts has never been greater. Traditional OCR engines often struggle with right-to-left text, ligatures and glyph ambiguities, leading to frustrating errors and missed opportunities. In this article, we explore the cutting-edge techniques that empower developers to build inclusive, high-accuracy OCR applications — from smart pre-processing and ligature detection to advanced language-model post-processing. Discover how to unlock seamless text recognition for emerging markets and tap into vast new user bases with modern OCR technology.

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